IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i21p8040-d438251.html
   My bibliography  Save this article

How Can One Strengthen a Tiered Healthcare System through Health System Reform? Lessons Learnt from Beijing, China

Author

Listed:
  • Shuduo Zhou

    (School of Public Health, Peking University, Beijing 100191, China)

  • Jin Xu

    (China Center for Health Development Studies, Peking University, Beijing 100191, China)

  • Xiaochen Ma

    (China Center for Health Development Studies, Peking University, Beijing 100191, China)

  • Beibei Yuan

    (China Center for Health Development Studies, Peking University, Beijing 100191, China)

  • Xiaoyun Liu

    (China Center for Health Development Studies, Peking University, Beijing 100191, China)

  • Hai Fang

    (China Center for Health Development Studies, Peking University, Beijing 100191, China)

  • Qingyue Meng

    (School of Public Health, Peking University, Beijing 100191, China
    China Center for Health Development Studies, Peking University, Beijing 100191, China)

Abstract

How one can reshape the current healthcare sector into a tiered healthcare system with clarified division of functions between primary care facilities and hospitals, and improve the utilization of primary care, is a worldwide problem, especially for the low and middle-income countries (LMICs). This paper aimed to evaluate the impact of the Beijing Reform on healthcare-seeking behavior and tried to explain the mechanism of the change of patient flow. In this before and after study, we evaluated the changes of outpatient visits and inpatient visits among different levels of health facilities. Using the monitored and statistical data of 373 healthcare institutions 1-year before and 1-year after the Beijing Reform, interrupted time series analysis was applied to evaluate the impact of the reform on healthcare-seeking behavior. Semi-structured interviews were used to further explore the mechanisms of the changes. One year after the reform, the flow of outpatients changed from tertiary hospitals to community health centers with an 11.90% decrease of outpatients in tertiary hospitals compared to a 15.01% increase in primary healthcare facilities. The number of ambulatory care visits in primary healthcare (PHC) showed a significant upward trend ( P < 0.10), and the reform had a significant impact on the average number of ambulatory care visits per institution in Beijing’s tertiary hospitals ( p < 0.10). We concluded that the Beijing Reform has attracted a substantial number of ambulatory care visits from hospitals to primary healthcare facilities in the short-term. Comprehensive reform policies were necessary to align incentives among relative stakeholders, which was a critical lesson for other provinces in China and other LMICs.

Suggested Citation

  • Shuduo Zhou & Jin Xu & Xiaochen Ma & Beibei Yuan & Xiaoyun Liu & Hai Fang & Qingyue Meng, 2020. "How Can One Strengthen a Tiered Healthcare System through Health System Reform? Lessons Learnt from Beijing, China," IJERPH, MDPI, vol. 17(21), pages 1-14, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8040-:d:438251
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/21/8040/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/21/8040/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ellis, Randall P. & Martins, Bruno & Zhu, Wenjia, 2017. "Health care demand elasticities by type of service," Journal of Health Economics, Elsevier, vol. 55(C), pages 232-243.
    2. Ariel Linden, 2015. "Conducting interrupted time-series analysis for single- and multiple-group comparisons," Stata Journal, StataCorp LP, vol. 15(2), pages 480-500, June.
    3. Ariel Linden, 2017. "A comprehensive set of postestimation measures to enrich interrupted time-series analysis," Stata Journal, StataCorp LP, vol. 17(1), pages 73-88, March.
    4. Yun Liu & Qingxia Kong & Shasha Yuan & Joris van de Klundert, 2018. "Factors influencing choice of health system access level in China: A systematic review," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-21, August.
    5. Yu-Hua Yan & Chih-Ming Kung & Horng-Ming Yeh, 2019. "The Impacts of the Hierarchical Medical System on National Health Insurance on the Resident’s Health Seeking Behavior in Taiwan: A Case Study on the Policy to Reduce Hospital Visits," IJERPH, MDPI, vol. 16(17), pages 1-10, August.
    6. Liu, Yun & Kong, Qingxia & de Bekker-Grob, Esther W., 2019. "Public preferences for health care facilities in rural China: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 237(C), pages 1-1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bruno Oliveira & Brian D. Fath, 2023. "Comparative Resilience Evaluation—Case Study for Six Cities in China, Europe, and the Americas," Land, MDPI, vol. 12(6), pages 1-15, June.
    2. Zhi Zeng & Wenjuan Tao & Shanlong Ding & Jianlong Fang & Jin Wen & Jianhong Yao & Wei Zhang, 2022. "Horizontal Integration and Financing Reform of Rural Primary Care in China: A Model for Low-Resource and Remote Settings," IJERPH, MDPI, vol. 19(14), pages 1-12, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samba Diop & Simplice A. Asongu, 2022. "The impact of Covid-19 and Russia-Ukraine war on food prices in fragile countries: misfortunes never come singly," Working Papers 22/055, European Xtramile Centre of African Studies (EXCAS).
    2. Jiang, Shan & Gu, Yuanyuan & Yang, Fan & Wu, Tao & Wang, Hui & Cutler, Henry & Zhang, Lufa, 2020. "Tertiary hospitals or community clinics? An enquiry into the factors affecting patients' choice for healthcare facilities in urban China," China Economic Review, Elsevier, vol. 63(C).
    3. Elvina Merkaj & Raffaella Santolini, 2021. "National Policies In Response To The Covid-19 Pandemic: The Case Of Friuli-Venezia-Giulia And Umbria," Working Papers 456, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Fiorentini, Gianluca & Bruni, Matteo Lippi & Mammi, Irene, 2022. "The same old medicine but cheaper: The impact of patent expiry on physicians’ prescribing behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 37-68.
    5. Paraje, Guillermo & Colchero, Arantxa & Wlasiuk, Juan Marcos & Sota, Antonio Martner & Popkin, Barry M., 2021. "The effects of the Chilean food policy package on aggregate employment and real wages," Food Policy, Elsevier, vol. 100(C).
    6. Wang, Daniel & Vasconcelos, Natália Pires de & Poirier, Mathieu JP & Chieffi, Ana & Mônaco, Cauê & Sritharan, Lathika & Van Katwyk, Susan Rogers & Hoffman, Steven J, 2020. "Health technology assessment and judicial deference to priority-setting decisions in healthcare: Quasi-experimental analysis of right-to-health litigation in Brazil," Social Science & Medicine, Elsevier, vol. 265(C).
    7. Guy Martial Takam Fongang, 2017. "Adoption and impact of improved maize varieties on maize yield in Cameroon: A macro-impact evaluation," Economics Bulletin, AccessEcon, vol. 37(4), pages 2496-2504.
    8. Christopher David Absell, 2020. "The rise of coffee in the Brazilian south‐east: tariffs and foreign market potential, 1827–40," Economic History Review, Economic History Society, vol. 73(4), pages 964-990, November.
    9. Merkaj, Elvina & Santolini, Raffaella, 2022. "Italian national policies in response to the COVID-19 pandemic: The case of the Friuli-Venezia-Giulia and Umbria Regions," Health Policy, Elsevier, vol. 126(4), pages 287-293.
    10. Koen Geven & Jan Skopek & Moris Triventi, 2018. "How to Increase PhD Completion Rates? An Impact Evaluation of Two Reforms in a Selective Graduate School, 1976–2012," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(5), pages 529-552, August.
    11. Castro, P. & Pedroso, R. & Lautenbach, S. & Vicens, R., 2020. "Farmland abandonment in Rio de Janeiro: Underlying and contributory causes of an announced development," Land Use Policy, Elsevier, vol. 95(C).
    12. KAMKOUM, Arnaud Cedric, 2023. "The Federal Reserve’s Response to the Global Financial Crisis and its Effects: An Interrupted Time-Series Analysis of the Impact of its Quantitative Easing Programs," Thesis Commons d7pvg, Center for Open Science.
    13. Christopher David Absell, 2023. "British slave emancipation and the demand for Brazilian sugar," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(1), pages 125-154, January.
    14. Fangye Du & Jiaoe Wang & Haitao Jin, 2021. "Whether Public Hospital Reform Affects the Hospital Choices of Patients in Urban Areas: New Evidence from Smart Card Data," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
    15. Luming Shang & Sofia Dermisi & Youngjun Choe & Hyun Woo Lee & Yohan Min, 2023. "Assessing Office Building Marketability before and after the Implementation of Energy Benchmarking and Disclosure Policies—Lessons Learned from Major U.S. Cities," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    16. M. Antonini & R. C. van Kleef & J. Henriquez & F. Paolucci, 2023. "Can risk rating increase the ability of voluntary deductibles to reduce moral hazard?," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(1), pages 130-156, January.
    17. Chen, Wen-Yi, 2020. "The welfare effect of co-payment adjustments on emergency department visits in medical centers: Evidence from Taiwan," Health Policy, Elsevier, vol. 124(11), pages 1192-1199.
    18. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," NBER Working Papers 26080, National Bureau of Economic Research, Inc.
    19. Zhou, Zhongliang & Zhao, Yaxin & Shen, Chi & Lai, Sha & Nawaz, Rashed & Gao, Jianmin, 2021. "Evaluating the effect of hierarchical medical system on health seeking behavior: A difference-in-differences analysis in China," Social Science & Medicine, Elsevier, vol. 268(C).
    20. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8040-:d:438251. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.